PrincetonLIPS / MaMLinks
Official code for Generative Marginalization Models [ICML 2024] [SPGIM 2023 Workshop Oral]
☆22Updated last year
Alternatives and similar repositories for MaM
Users that are interested in MaM are comparing it to the libraries listed below
Sorting:
- ☆37Updated 4 years ago
- The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…☆57Updated 2 years ago
- ☆15Updated 5 years ago
- ☆23Updated 4 years ago
- Energy Based Models are a quite novel technique for density estimation. In this university project I explore this new research topic and …☆16Updated 4 years ago
- This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivale…☆23Updated last year
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆21Updated last year
- Entropic Optimal Transport Benchmark (NeurIPS 2023).☆25Updated last year
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆41Updated last year
- ☆38Updated last year
- An implementation of (Induced) Set Attention Block, from the Set Transformers paper☆61Updated 2 years ago
- ☆29Updated 3 years ago
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆65Updated 3 years ago
- Official code for "VFlow: More Expressive Generative Flows with Variational Data Augmentation" (ICML 2020)☆40Updated 2 years ago
- ☆24Updated 4 years ago
- Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021☆27Updated 3 years ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆46Updated 2 years ago
- Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding"☆26Updated 2 years ago
- Denoising Diffusion Implicit Models☆28Updated 4 years ago
- Transformers with doubly stochastic attention☆47Updated 3 years ago
- Code for "Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance", NeurIPS 2022☆17Updated 2 years ago
- Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)☆36Updated 4 years ago
- A minimalist implementation of score-based diffusion model☆129Updated 4 years ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆49Updated 5 years ago
- Implementation of Insertion-deletion Denoising Diffusion Probabilistic Models☆30Updated 3 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆55Updated last year
- ☆17Updated 2 years ago
- ☆54Updated last year
- Featurized Density Ratio Estimation☆20Updated 4 years ago
- Bayesian Attention Modules☆35Updated 4 years ago